Schema.ai· vLLM
vLLM v0.23.0API up

Scheduler and KV pressure metrics

seed slicevLLM v0.23.0evidence: source code and documentation

Coverage

Coverage for a small vLLM v0.23.0 metric slice that exposes scheduler queue state, KV cache usage, and preemption signals.

Strong for whether the selected v0.23.0 metrics exist and what source fields they observe; weak for alert thresholds and workload-specific interpretation.

This topic is intentionally scoped to selected Prometheus metrics that connect to the existing scheduler/KV pressure graph; it is not a full vLLM observability catalog.

Claims in this topic (8)

Metrics in this topic (5)

Surfaces

Known gaps

The corpus does not include alert thresholds, benchmark baselines, or workload-specific healthy ranges for these metrics.

Schema.ai can identify and explain the metrics but should not yet recommend numeric alert thresholds.

Check: Add runtime evals, design-partner telemetry, or benchmark evidence before serving threshold guidance.

Availability records now inventory the complete fixed-name v0.23.0 PrometheusStatLogger metric surface, but semantic claims cover only the selected scheduler/KV pressure metrics.

Schema.ai can answer whether a fixed-name metric exists at v0.23.0 from the complete inventory, but interpretation claims remain limited to the seed slice.

Check: Promote semantic claims for additional inventoried metrics as they become eval-covered.

KV connector per-connector Prometheus metrics and vllm.stat_loggers plugin metrics are open extension points that register dynamic metric names not covered by the fixed-name inventory.

Absence answers must be scoped to first-party fixed-name registrations; a deployment with connector or plugin metrics can expose additional names.

Check: Record deployment-specific connector/plugin context as agent-supplied bindings, not corpus facts.